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Curating and assimilating crowdsourced and authoritative data for improved modelling of river flow and morphology (RiverCure)

Type: National Project

Duration: from 2018 Jun 14 to 2021 Jun 13

Financed by: FCT

Prime Contractor: IST-ID (University) -Portugal

RiverCure addresses the issue of reducing uncertainty and improving forecasting
capabilities of hydrodynamic and morphodynamic mathematical models for flood
simulation, water resources management and habitat protection. Profiting from recent
advances in collecting and processing crowdsourced information produced by riverine
communities and shared in internet sites and social media, RiverCure will contribute
to improve the forecasting capabilities of mathematical models of rivers by making an
efficient and systematic use of curated crowdsourced and authoritative data through
assimilation and calibration. The key outputs of the project are: a new-generation
river model with embedded DA and calibration; an IT platform to articulate data and
model forecasts; curated databases combining authoritative and crowdsourced data.
RiverCure?s impact transcends its alignment with ENEI and Lisbon?s EREI: it will
benefit water governance entities in water management and risk mapping activities.